Health Decision Support System Based on Machine Learning via Big Data

Storing data is a known technique in the health care system. Because of the availability of more information in regular database systems, it is not able to provide the doctors with the precise data they need. When the standard of medical knowledge is incomplete the accuracy is also incomplete. The health care records are collected and using machine learning algorithms, the diseases in frequent communities are predicted. The method is introduced in order to assist users in providing correct data when there is quality within the information. A multimodal illness risk prediction rule is used to analysis the solution. The information is targeted on knowledge varieties within the space of medical knowledge analytics.